Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: DIALOG Sodexo – Workforce Management
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > CRM > DIALOG Sodexo – Workforce Management
Business IntelligenceCRMData MiningPredictive Analytics

DIALOG Sodexo – Workforce Management

JamesTaylor
JamesTaylor
5 Min Read
SHARE

(Guest post by James Taylor of Decision Management Solutions)

Sodexo provides all sorts of services around food and facilities management. Labor is the number one cost for Sodexo. Each of their businesses, and they have businesses in 7,000 locations, is run somewhat separately. Most staff are hourly, many are unionized and each State has different rules. Tracking and managing hours worked is critical to compliance (for labor and workplace regulations) and payroll.

The original driver for the system was a published study that showed an ROI from installing a time clock device at each location. But this raised the question of how to collect and collate this information so you can see how well locations were doing and how to manage this information across the company. They went from pencil and paper (literally) to a web-based, company-wide solution.

They started with a proof of concept, in part because of the range of impacts the system would have on the organization. Moving to this system was going to require common work practices across the company. They needed payroll rules and this created another problem because different payroll services were being used in different locations an…

More Read

Growth in Data-Related Jobs, cnt’d
Private versus Public Clouds for ERP Software
Discussing a Proposal for a Decision Modeling Notation
Data Analytics Study Uncovers Billions in Potential Revenue.
It’s Just a Little More Disk Space


Sodexo provides all sorts of services around food and facilities management. Labor is the number one cost for Sodexo. Each of their businesses, and they have businesses in 7,000 locations, is run somewhat separately. Most staff are hourly, many are unionized and each State has different rules. Tracking and managing hours worked is critical to compliance (for labor and workplace regulations) and payroll.

The original driver for the system was a published study that showed an ROI from installing a time clock device at each location. But this raised the question of how to collect and collate this information so you can see how well locations were doing and how to manage this information across the company. They went from pencil and paper (literally) to a web-based, company-wide solution.

They started with a proof of concept, in part because of the range of impacts the system would have on the organization. Moving to this system was going to require common work practices across the company. They needed payroll rules and this created another problem because different payroll services were being used in different locations and every state has its own rules and those rules were not necessarily implemented consistently!

An initial beta rollout showed the ROI was real but the vendor software did not manage the rules very well. They also discovered that exceptions, like for minors’ work hours, requried some manual override. Sodexo decided to pick a rule engine and build their own system. By now there was a time crunch on top of which they replaced the outsourced payroll with a packaged application requiring a massive payroll conversion. They were getting into trouble and questioning the approach. Then they brought ILOG in and got an honest assessment of what they were doing wrong and how to get back on track.

They were able in the end to show the ROI and get the application into all 7,000 locations and do pay all 95,000 hourly workers. Labor rules are implemented consistently and time is tracked accurately. The whole automation effort has eliminated payroll processing errors. Lastly it creates an audit trail – important when the Department of Labor allows for 7 year back records to be used!

Tips:

  • Document your requirements carefully
  • Think about long term strategy
    Other countries, flexibility, changing rules quickly
  • Determine both your business and technology strategy
  • Take the ILOG training for both business analysts and developers
  • Talk to ILOG

Interestingly I know of another workforce management solution built with Blaze Advisor and their ROI was based on the same mix of agility and compliance.


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data mining to find the right poly bag makers
Using Data Analytics to Choose the Best Poly Mailer Bags
Analytics Big Data Exclusive
data science importance of flexibility
Why Flexibility Defines the Future of Data Science
Big Data Exclusive
payment methods
How Data Analytics Is Transforming eCommerce Payments
Business Intelligence
cybersecurity essentials
Cybersecurity Essentials For Customer-Facing Platforms
Exclusive Infographic IT Security

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Image
AnalyticsBig DataBusiness IntelligenceDecision ManagementHadoopMarketingWeb Analytics

How 250 Milliseconds in Added Latency Can Ruin Online Sales This Holiday Season

6 Min Read

Social Media, Corporate Decisions and Analytics

5 Min Read
Video content creation and AI tools
Artificial Intelligence

AI Is Expanding Our Video Content Creation Options In Stupendous Ways

6 Min Read

Data Mining Data Sets

1 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?